Updates

ETB-API/venv/lib/python3.12/site-packages/prometheus_client/samples.py

@@ -0,0 +1,73 @@
+from typing import Dict, NamedTuple, Optional, Sequence, Union
+
+
+class Timestamp:
+    """A nanosecond-resolution timestamp."""
+
+    def __init__(self, sec: float, nsec: float) -> None:
+        if nsec < 0 or nsec >= 1e9:
+            raise ValueError(f"Invalid value for nanoseconds in Timestamp: {nsec}")
+        if sec < 0:
+            nsec = -nsec
+        self.sec: int = int(sec)
+        self.nsec: int = int(nsec)
+
+    def __str__(self) -> str:
+        return f"{self.sec}.{self.nsec:09d}"
+
+    def __repr__(self) -> str:
+        return f"Timestamp({self.sec}, {self.nsec})"
+
+    def __float__(self) -> float:
+        return float(self.sec) + float(self.nsec) / 1e9
+
+    def __eq__(self, other: object) -> bool:
+        return isinstance(other, Timestamp) and self.sec == other.sec and self.nsec == other.nsec
+
+    def __ne__(self, other: object) -> bool:
+        return not self == other
+
+    def __gt__(self, other: "Timestamp") -> bool:
+        return self.nsec > other.nsec if self.sec == other.sec else self.sec > other.sec
+
+    def __lt__(self, other: "Timestamp") -> bool:
+        return self.nsec < other.nsec if self.sec == other.sec else self.sec < other.sec
+
+
+# BucketSpan is experimental and subject to change at any time.
+class BucketSpan(NamedTuple):
+    offset: int
+    length: int
+
+
+# NativeHistogram is experimental and subject to change at any time.
+class NativeHistogram(NamedTuple):
+    count_value: float
+    sum_value: float
+    schema: int
+    zero_threshold: float
+    zero_count: float
+    pos_spans: Optional[Sequence[BucketSpan]] = None
+    neg_spans: Optional[Sequence[BucketSpan]] = None
+    pos_deltas: Optional[Sequence[int]] = None
+    neg_deltas: Optional[Sequence[int]] = None
+
+
+# Timestamp and exemplar are optional.
+# Value can be an int or a float.
+# Timestamp can be a float containing a unixtime in seconds,
+# a Timestamp object, or None.
+# Exemplar can be an Exemplar object, or None.
+class Exemplar(NamedTuple):
+    labels: Dict[str, str]
+    value: float
+    timestamp: Optional[Union[float, Timestamp]] = None
+
+
+class Sample(NamedTuple):
+    name: str
+    labels: Dict[str, str]
+    value: float
+    timestamp: Optional[Union[float, Timestamp]] = None
+    exemplar: Optional[Exemplar] = None
+    native_histogram: Optional[NativeHistogram] = None